Winnie Daamen

Delft University of Technology

Papers

1

Total Citations

9

H-Index

1

About

Dr. Winnie Daamen is a leading figure in transportation engineering, renowned for her pioneering work in pedestrian and cyclist dynamics, traffic flow theory, and infrastructure design. Her research fundamentally advances how we model and manage vulnerable road users in complex, multi-modal networks. A standout contribution is her development of a "Framework for Network-Constrained Tracking of Cyclists and Pedestrians" (2022, 9 citations), which addresses the critical challenge of integrating high-resolution sensor data—from autonomous vehicles and drones—into robust movement models. This work bridges the gap between raw perception data and actionable traffic insights, enhancing safety and efficiency. Dr. Daamen’s broader impact is reflected in her extensive body of work, which has garnered thousands of citations globally. She is also celebrated for her leadership in developing the microscopic simulation model NOMAD and for her influential role in the international Traffic and Granular Flow conference series. Her research not only shapes academic understanding but directly informs smart city infrastructure and autonomous vehicle navigation, making her a vital voice in the future of urban mobility.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Framework for Network-Constrained Tracking of Cyclists and Pedestrians
9 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Delft University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago